Feature Subset Selection Based on Genetic Algorithm
Yongguo Liu · Jisuanji gongcheng · 2003
Data mining aims at huge data in the very large database. Records in this database include many redundant and irrelated features, which degrade the data mining performance and increase the algorithm complexity. So, feature subset selection becomes one of the important research issues in the field of data mining. In this paper, an algorithm of feature subset selection based on genetic algorithm is proposed according to the filter approach. It is proved by experimental results that the convergence and the stability of this algorithm are adequately achieved.